The fitR package introduced in this course was developed as a teaching tool, and the implementation of inference algorithms in this package is not particularly efficient of stable. For vastly superior alternative options for fitting models to data there are much better options. Here we provide some additional short tutorials that show how these could be used to fit the SEITL and related models to the Tristan da Cunha data set.
This web site and the material contained in it were originally created in support of an annual short course on Model Fitting and Inference for Infectious Disease Dynamics at the London School of Hygiene & Tropical Medicine. All material is under a MIT license. Please report any issues or suggestions for improvement on the corresponding GitHub issue tracker. We are always keen to hear about any uses of the material here, so please do get in touch using the Discussion board if you have any questions or ideas, or if you find the material here useful or use it in your own teaching.